main file updated

app.py

@@ -0,0 +1,30 @@
+import torch
+from diffusers import StableDiffusionPipeline
+import gradio as gr
+
+
+model_id = "stabilityai/stable-diffusion-2-1"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+
+def generate_image(prompt):
+    with torch.autocast("cuda"):
+        image = pipe(prompt).images[0]  
+    return image
+
+
+title = " Image Generator"
+description = """
+This app generates images based on text prompts using the Stable Diffusion model.
+"""
+
+interface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your text prompt", placeholder="Describe the image you want to generate"),
+    outputs=gr.Image(label="Generated Image"),
+    title=title,
+    description=description,
+)
+
+gr.launch()